71 citations · 517 across the 23 of their papers we have counts for
23 papers
Awareness requirement and performance management for adaptive systems: a survey
Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon +4
Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance…
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan +4
The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected global health and become a huge burden on health institutions all over the world. Th…
Kurdish Handwritten Character Recognition using Deep Learning Techniques
Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network
Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this…
A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes
Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the…
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function
Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad +4
Background and Purpose: Convolutional neural network is widely used for image recognition in the medical area at nowadays. However, overall accuracy in predicting lung tumor is low…
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices
Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad +3
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learni…
Harmony Search: Current Studies and Uses on Healthcare Systems
Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon +13
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory…
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Hui Yang, Abeer Alsadoon, P. W. C. Prasad +4
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemente…
Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation
Akriti Bhusal, Abeer Alsadoon, P. W. C. Prasad +2
Background and Aim: Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc. Sleep-r…
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla +5
Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic algorithm t…
Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction
Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad +4
The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy information which makes it an…
Mixed Reality using Illumination-aware Gradient Mixing in Surgical Telepresence: Enhanced Multi-layer Visualization
Nirakar Puri, Abeer Alsadoon, P. W. C. Prasad +2
Background and aim: Surgical telepresence using augmented perception has been applied, but mixed reality is still being researched and is only theoretical. The aim of this work is…
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants
Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi +5
One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstr…
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning
Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Accurate classification of Magnetic Resonance Images (MRI) is essential to accurately predict Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conver…
A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras
Ravi Teja Batchu, Abeer Alsadoon, P. W. C. Prasad +4
Health records data security is one of the main challenges in e-health systems. Authentication is one of the essential security services to support the stored data confidentiality,…
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function
Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad +5
Background and Aim: Recently, deep learning using convolutional neural network has been used successfully to classify the images of breast cells accurately. However, the accuracy o…
Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow
Sagar Chhetri, Abeer Alsadoon, Thair Al Dala in +3
Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, a vision-based fall detection system has sh…
A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm
Arjina Maharjan, Abeer Alsadoon, P. W. C. Prasad +4
Background and aim: Most of the Mixed Reality models used in the surgical telepresence are suffering from discrepancies in the boundary area and spatial-temporal inconsistency due…
A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm
Nitish Maharjan, Abeer Alsadoon, P. W. C. Prasad +2
Background and aim: Image registration and alignment are the main limitations of augmented reality-based knee replacement surgery. This research aims to decrease the registration e…
A New K means Grey Wolf Algorithm for Engineering Problems
Hardi M. Mohammed, Zrar Kh. Abdul, Tarik A. Rashid +2
Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering. One of the common meta…
An Improved Simulation Model for Pedestrian Crowd Evacuation
Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon +4
This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed…
A survey on dragonfly algorithm and its applications in engineering
Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon +3
The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times,…